Software Engineer, D&T, Azure/Cloud Dev

The Software Engineer, React, AI & Azure, Digital & Transformation requires technical expertise in front-end and back-end development using ReactJS/Next.js, C# and .NET Core, Microsoft SQL, and the Azure cloud platform, together with practical knowledge of Large Language Models (LLMs), Generative AI. This role designs, develops, tests, deploys, and enhances secure, scalable, resilient web applications and AI-driven cloud solutions.

• Design, develop, test, deploy, and monitor full-stack applications using ReactJS/Next.js, C#/.NET Core, Microsoft SQL, and Azure services.
• Implement AI-powered features by integrating LLMs, Generative AI models and Azure AI services into web applications.
• Translate business requirements into technical specifications, estimates, user stories, and implementation tasks.
• Apply cloud and software engineering best practices to build highly scalable, available, secure, resilient, and sustainable solutions.
• Develop cloud-native APIs and microservices using .NET and Azure PaaS, serverless, messaging, storage, and integration services.
• Develop modern, responsive user experiences and integrate React-based front ends with secure APIs and cloud-hosted back-end services.
• Build repeatable infrastructure and application deployments using Azure Resource Manager (ARM) templates and/or Bicep, PowerShell, and Azure CLI.
• Establish and support CI/CD pipelines, containerized deployments, observability, and operational troubleshooting through Azure DevOps.
• Collaborate with architects and senior stakeholders on solution architecture, prototypes, and proofs of concept.
• Other duties as assigned.

• Bachelors Degree in Computer Science, Engineering, or equivalent preferred required

• Bachelor s degree in Computer Science or equivalent experience
• Minimum 3 years related work experience required

• Strong experience and in depth knowledge in JavaScript/TypeScript and ReactJS, Next.js, or similar front-end frameworks
• C#, .NET Core, RESTful APIs, Microsoft SQL, LLMs, Generative AI and modern application architecture.
• Experience with Microsoft Bot Framework, Node-RED, or comparable integration and automation tools
• Azure PaaS development using services such as App Service, Azure Functions, API Management, Service Bus, Logic Apps, and Azure Storage.
• Microservice and serverless architectures, Docker containers, Azure Container Registry, and Kubernetes/AKS or Azure Service Fabric.
• Secure cloud solutions using Microsoft Entra ID (Azure Active Directory), managed identities, Azure Key Vault, and appropriate access controls.
• Data and event solutions using Azure Cosmos DB, Event Hubs, Stream Analytics, Data Factory, Data Lake, and related analytics services.
• CI/CD and Agile delivery using Azure DevOps or comparable tooling, with Git-based source control.
• Application telemetry, monitoring, and troubleshooting using Azure Monitor, Log Analytics, Application Insights, and related analytics services.
• Cloud design patterns, disaster recovery, scalability, availability, resiliency, security, and performance engineering.
• Ability to work in a global and virtual environment and to prioritize and execute tasks effectively in a high-pressure environment.
• Ability to work autonomously in a fast-paced and complex environment, exercise sound judgment, and manage multiple priorities with urgency.